Automatically identify and classify sensitive data across 200+ sources, in any format, any environment, ensuring comprehensive data visibility.
Help organizations comply with various data protection regulations such as GDPR, CCPA, LGPD, Australian Privacy Act and by automating compliance processes and maintaining audit trails.
Using AI, provide robust data protection measures to prevent unauthorized or personal data from being used to train AI models, ensuring the security of sensitive information.
Manage data privacy by automating privacy impact assessments, consent management, and data subject requests.
Identify and mitigate data-related risks, helping organizations proactively address potential vulnerabilities.
Ensure proper data retention and deletion practices, facilitating effective data lifecycle management.
Establish data governance frameworks and policies to maintain data quality, integrity, and accountability.
Reduce manual efforts and operational costs associated with data governance and compliance through automation and AI-driven insights.
Using unsupervised AI, we empower any business to find any type of data in any environment with near-perfect accuracy ensuring efficient and confident compliance with all regulations.
Self-learning AI can adapt to evolving threats and changing data environments. It can recognize new patterns of sensitive data and potential security risks that traditional rule-based systems might miss.
Through iterative learning processes, self-learning AI can enhance the accuracy of data classification and correlation. This reduces false positives and ensures that sensitive data is identified correctly.
Automating the discovery and classification of sensitive data using AI significantly increases efficiency compared to manual methods. This allows security teams to focus on more strategic tasks and proactive measures.
AI systems can scale effortlessly to handle large volumes of data, making them suitable for enterprise-level applications where vast amounts of data are processed daily.
By continuously learning from data patterns and user behavior, self-learning AI can anticipate potential security threats and privacy vulnerabilities before they become serious issues. This proactive approach enhances overall data protection.
Over time, using AI for data privacy and security can lead to cost savings by reducing the need for manual intervention and minimizing the impact of data breaches or compliance violations.
We are experts in Data Discovery, Classification, Inventory, Linkage, and Mapping, for Data Security, AI Governance and Privacy Compliance.
Eliminates need to license multiple software platforms
Significantly reduces manual burden and programmer support. Expands reach into enterprise data and extends data protection beyond limits of legacy technologies
Support for Unstructured, Semi-structured, Structured data
Time to value. Speed to Insights & Decision-Making
Reduced false positives
Ease of onboarding and ease of use.
Reduces or eliminates need to hire staff, manage compute cost, licensing cost
End-to-end solution for AI data security and governance, ensuring compliance with AI governance regulations, improving data visibility, and mitigating risks associated with data usage in AI applications.
Using advanced AI algorithms to automatically discover, classify, and catalog data across various sources to help maintain an accurate and up-to-date inventory of their data assets.
Features including encryption, access controls, and anomaly detection, to protect sensitive information from unauthorized access and breaches.
By offering tools for data integration, cleansing, and enrichment which ensures that the data used in AI models is reliable, consistent, and of high quality.
Designed to scale with the growing needs of organizations. providing flexibility and adaptability to different business environments.
The intuitive dashboards and visualizations make it easy for users to monitor data activities, track compliance, and generate reports without requiring extensive technical expertise.
Reduces the need for multiple tools and manual processes and minimizes the resources and time required for managing data compliance and security.
Can be rapidly deployed and easily integrated with existing data systems and AI tools.
Stay ahead in a world driven by information.
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